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pageserver: fix image layer skip while maintaing the one visit per layer property #9025

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146 changes: 143 additions & 3 deletions pageserver/src/tenant.rs
Original file line number Diff line number Diff line change
Expand Up @@ -4164,9 +4164,18 @@ pub(crate) mod harness {
let records_neon = records.iter().all(|r| apply_neon::can_apply_in_neon(&r.1));
if records_neon {
// For Neon wal records, we can decode without spawning postgres, so do so.
let base_img = base_img.expect("Neon WAL redo requires base image").1;
let mut page = BytesMut::new();
page.extend_from_slice(&base_img);
let mut page = match (base_img, records.first()) {
(Some((_lsn, img)), _) => {
let mut page = BytesMut::new();
page.extend_from_slice(&img);
page
}
(_, Some((_lsn, rec))) if rec.will_init() => BytesMut::new(),
_ => {
panic!("Neon WAL redo requires base image or will init record");
}
};

for (record_lsn, record) in records {
apply_neon::apply_in_neon(&record, record_lsn, key, &mut page)?;
}
Expand Down Expand Up @@ -8470,4 +8479,135 @@ mod tests {

Ok(())
}

// Regression test for https://github.com/neondatabase/neon/issues/9012
// Create an image arrangement where we have to read at different LSN ranges
// from a delta layer. This is achieved by overlapping an image layer on top of
// a delta layer. Like so:
//
// A B
// +----------------+ -> delta_layer
// | | ^ lsn
// | =========|-> nested_image_layer |
// | C | |
// +----------------+ |
// ======== -> baseline_image_layer +-------> key
//
//
// When querying the key range [A, B) we need to read at different LSN ranges
// for [A, C) and [C, B). This test checks that the described edge case is handled correctly.
#[tokio::test]
async fn test_vectored_read_with_nested_image_layer() -> anyhow::Result<()> {
let harness = TenantHarness::create("test_vectored_read_with_nested_image_layer").await?;
let (tenant, ctx) = harness.load().await;

let will_init_keys = [2, 6];
fn get_key(id: u32) -> Key {
let mut key = Key::from_hex("110000000033333333444444445500000000").unwrap();
key.field6 = id;
key
}

let mut expected_key_values = HashMap::new();

let baseline_image_layer_lsn = Lsn(0x10);
let mut baseline_img_layer = Vec::new();
for i in 0..5 {
let key = get_key(i);
let value = format!("value {i}@{baseline_image_layer_lsn}");

let removed = expected_key_values.insert(key, value.clone());
assert!(removed.is_none());

baseline_img_layer.push((key, Bytes::from(value)));
}

let nested_image_layer_lsn = Lsn(0x50);
let mut nested_img_layer = Vec::new();
for i in 5..10 {
let key = get_key(i);
let value = format!("value {i}@{nested_image_layer_lsn}");

let removed = expected_key_values.insert(key, value.clone());
assert!(removed.is_none());

nested_img_layer.push((key, Bytes::from(value)));
}

let mut delta_layer_spec = Vec::default();
let delta_layer_start_lsn = Lsn(0x20);
let mut delta_layer_end_lsn = delta_layer_start_lsn;

for i in 0..10 {
let key = get_key(i);
let key_in_nested = nested_img_layer
.iter()
.any(|(key_with_img, _)| *key_with_img == key);
let lsn = {
if key_in_nested {
Lsn(nested_image_layer_lsn.0 + 0x10)
} else {
delta_layer_start_lsn
}
};

let will_init = will_init_keys.contains(&i);
if will_init {
delta_layer_spec.push((key, lsn, Value::WalRecord(NeonWalRecord::wal_init())));

expected_key_values.insert(key, "".to_string());
} else {
let delta = format!("@{lsn}");
delta_layer_spec.push((
key,
lsn,
Value::WalRecord(NeonWalRecord::wal_append(&delta)),
));

expected_key_values
.get_mut(&key)
.expect("An image exists for each key")
.push_str(delta.as_str());
}
delta_layer_end_lsn = std::cmp::max(delta_layer_start_lsn, lsn);
}

delta_layer_end_lsn = Lsn(delta_layer_end_lsn.0 + 1);

assert!(
nested_image_layer_lsn > delta_layer_start_lsn
&& nested_image_layer_lsn < delta_layer_end_lsn
);

let tline = tenant
.create_test_timeline_with_layers(
TIMELINE_ID,
baseline_image_layer_lsn,
DEFAULT_PG_VERSION,
&ctx,
vec![DeltaLayerTestDesc::new_with_inferred_key_range(
delta_layer_start_lsn..delta_layer_end_lsn,
delta_layer_spec,
)], // delta layers
vec![
(baseline_image_layer_lsn, baseline_img_layer),
(nested_image_layer_lsn, nested_img_layer),
], // image layers
delta_layer_end_lsn,
)
.await?;

let keyspace = KeySpace::single(get_key(0)..get_key(10));
let results = tline
.get_vectored(keyspace, delta_layer_end_lsn, &ctx)
.await
.expect("No vectored errors");
for (key, res) in results {
let value = res.expect("No key errors");
let expected_value = expected_key_values.remove(&key).expect("No unknown keys");
assert_eq!(value, Bytes::from(expected_value));
}

Ok(())
}
}
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